〔Abstract〕 Objective To explore the factors affecting the poor prognosis of acute cerebral infarction and establish a predictive model. Methods 156 patients with acute cerebral infarction who were admitted to the Department of Internal Medicine of Chencun Hospital from January 2019 to November 2019 were selected as the observation group and 74 patients with non-cerebral infarction as the control group. Observe the uric acid, creatinine and other indicators of the two groups, study the influencing factors of the poor prognosis of acute cerebral infarction, and use the Logistic regression method to establish a predictive model. Results The differences in creatinine, uric acid, cystatin C, homocysteine, fasting blood glucose, and high-density lipoprotein index between the two groups were statistically significant (P < 0.05); univariate analysis showed that age, creatinine, Uric acid, cystatin C,homocysteine, fasting blood glucose, total cholesterol, and NIHSS score on admission are the factors affecting the poor prognosis of patients with acute cerebral infarction; the Results of multivariate analysis showed that uric acid, cystatin C, homocysteine Acid, fasting blood glucose, and NIHSS score on admission are independent factors affecting the poor prognosis of patients with acute cerebral infarction; the area under the ROC curve of the established prediction model is 0.71, which has good predictive power. Conclusion The prognosis prediction model of acute cerebral infarction established in this study has high accuracy, which is helpful for clinical prognosis judgment and can be used for patient prognosis prediction.